tjh.dev
Clone of https://github.com/NixOS/nixpkgs.git (to stress-test knotserver)
1# Warning: use the same CUDA version as torch-bin.
2#
3# Precompiled wheels can be found at:
4# https://download.pytorch.org/whl/torch_stable.html
5
6# To add a new version, run "prefetch.sh 'new-version'" to paste the generated file as follows.
7
8version : builtins.getAttr version {
9 "1.13.1" = {
10 x86_64-linux-37 = {
11 name = "torch-1.13.1-cp37-cp37m-linux_x86_64.whl";
12 url = "https://download.pytorch.org/whl/cu116/torch-1.13.1%2Bcu116-cp37-cp37m-linux_x86_64.whl";
13 hash = "sha256-INfG4AgEtr6m9pt3JAxPzfJEzOL2sf9zvv98DfZVPZ0=";
14 };
15 x86_64-linux-38 = {
16 name = "torch-1.13.1-cp38-cp38-linux_x86_64.whl";
17 url = "https://download.pytorch.org/whl/cu116/torch-1.13.1%2Bcu116-cp38-cp38-linux_x86_64.whl";
18 hash = "sha256-kzj6oKWg62JeF+OXKfBvsKV0CY16uI2Fa72ky3agtmU=";
19 };
20 x86_64-linux-39 = {
21 name = "torch-1.13.1-cp39-cp39-linux_x86_64.whl";
22 url = "https://download.pytorch.org/whl/cu116/torch-1.13.1%2Bcu116-cp39-cp39-linux_x86_64.whl";
23 hash = "sha256-20V6gi1zYBO2/+UJBTABvJGL3Xj+aJZ7YF9TmEqa+sU=";
24 };
25 x86_64-linux-310 = {
26 name = "torch-1.13.1-cp310-cp310-linux_x86_64.whl";
27 url = "https://download.pytorch.org/whl/cu116/torch-1.13.1%2Bcu116-cp310-cp310-linux_x86_64.whl";
28 hash = "sha256-UdWHDN8FtiCLHHOf4LpRG5d+yjf5UHgpZ1WWrMEbbKQ=";
29 };
30 x86_64-darwin-37 = {
31 name = "torch-1.13.1-cp37-none-macosx_10_9_x86_64.whl";
32 url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp37-none-macosx_10_9_x86_64.whl";
33 hash = "sha256-DZuAYQSM+3jmdbnS6oUDv+MNtD1YNZmuhiaxJjoME4A=";
34 };
35 x86_64-darwin-38 = {
36 name = "torch-1.13.1-cp38-none-macosx_10_9_x86_64.whl";
37 url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp38-none-macosx_10_9_x86_64.whl";
38 hash = "sha256-M+Z+6lJuC7uRUSY+ZUF6nvLY+lPL5ijocxAGDJ3PoxI=";
39 };
40 x86_64-darwin-39 = {
41 name = "torch-1.13.1-cp39-none-macosx_10_9_x86_64.whl";
42 url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp39-none-macosx_10_9_x86_64.whl";
43 hash = "sha256-aTB5HvqHV8tpdK9z1Jlra1DFkogqMkuPsFicapui3a8=";
44 };
45 x86_64-darwin-310 = {
46 name = "torch-1.13.1-cp310-none-macosx_10_9_x86_64.whl";
47 url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp310-none-macosx_10_9_x86_64.whl";
48 hash = "sha256-OTpic8gy4EdYEGP7dDNf9QtMVmIXAZzGrOMYzXnrBWY=";
49 };
50 aarch64-darwin-38 = {
51 name = "torch-1.13.1-cp38-none-macosx_11_0_arm64.whl";
52 url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp38-none-macosx_11_0_arm64.whl";
53 hash = "sha256-7usgTTD9QK9qLYCHm0an77489Dzb64g43U89EmzJCys=";
54 };
55 aarch64-darwin-39 = {
56 name = "torch-1.13.1-cp39-none-macosx_11_0_arm64.whl";
57 url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp39-none-macosx_11_0_arm64.whl";
58 hash = "sha256-4N+QKnx91seVaYUy7llwzomGcmJWNdiF6t6ZduWgSUk=";
59 };
60 aarch64-darwin-310 = {
61 name = "torch-1.13.1-cp310-none-macosx_11_0_arm64.whl";
62 url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp310-none-macosx_11_0_arm64.whl";
63 hash = "sha256-ASKAaxEblJ0h+hpfl2TR/S/MSkfLf4/5FCBP1Px1LtU=";
64 };
65
66 };
67}